Statistical modeling of overhead costs

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Abstract

Five years of quarterly overhead costs
at two major U.S. defense aircraft manufacturers
were categorized according to the
types of costs incurred. These categories of overhead costs were then modeling via regression analysis, using production and operating variables of the two contractors as independent variables. After adjusting the data for seasonal autocorrelation, excellent structural and predictive models of total over-head costs were obtained.

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